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Scoping Review of Employer-Led Research Using Employee Health Claims Data

Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literat...

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Autores principales: Movva, Naimisha, Pastula, Susan T., Rege, Saumitra V., Lewis, R. Jeffrey, Bylsma, Lauren C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mary Ann Liebert, Inc., publishers 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611962/
https://www.ncbi.nlm.nih.gov/pubmed/37682577
http://dx.doi.org/10.1089/pop.2023.0140
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author Movva, Naimisha
Pastula, Susan T.
Rege, Saumitra V.
Lewis, R. Jeffrey
Bylsma, Lauren C.
author_facet Movva, Naimisha
Pastula, Susan T.
Rege, Saumitra V.
Lewis, R. Jeffrey
Bylsma, Lauren C.
author_sort Movva, Naimisha
collection PubMed
description Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literature reporting the use, applications, and outcomes of employee health claims data by self-insured employers. The ScR was conducted in a stepwise manner using an established framework: identifying the research question, identifying and selecting relevant studies, charting the data, and collating and reporting results. Literature searches were conducted in PubMed and Embase. Studies of self-insured employee populations that were conducted by the employer/s through May 2022 were identified using predefined criteria. Forty-one studies were included. The majority (90%) were cohort study designs; most employers (51%) were in industries such as aluminum production and health insurance providers. Twenty-four (59%) studies supplemented claims data with other sources such as human resource data to evaluate programs and/or health outcomes. A range of exposures (eg, chronic conditions, wellness program participation) and outcomes (eg, rates or costs of conditions, program effectiveness) were considered. Among the 25 studies that reported on patient confidentiality and privacy, 68% indicated institutional review board approval and 48% reported use of deidentified data. Many self-insured employers have used employee health claims data to gain insights into their employees' needs and health care utilization. These data can be used to identify potential improvements for wellness and other targeted programs to improve employee health and decrease absenteeism.
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spelling pubmed-106119622023-10-29 Scoping Review of Employer-Led Research Using Employee Health Claims Data Movva, Naimisha Pastula, Susan T. Rege, Saumitra V. Lewis, R. Jeffrey Bylsma, Lauren C. Popul Health Manag Review Articles Employers may evaluate employee claims data for various reasons, including assessment of medical insurance and wellness plan efficacy, monitoring employee health trends, and identifying focus areas for wellness measures. The objective of this scoping review (ScR) is to describe the available literature reporting the use, applications, and outcomes of employee health claims data by self-insured employers. The ScR was conducted in a stepwise manner using an established framework: identifying the research question, identifying and selecting relevant studies, charting the data, and collating and reporting results. Literature searches were conducted in PubMed and Embase. Studies of self-insured employee populations that were conducted by the employer/s through May 2022 were identified using predefined criteria. Forty-one studies were included. The majority (90%) were cohort study designs; most employers (51%) were in industries such as aluminum production and health insurance providers. Twenty-four (59%) studies supplemented claims data with other sources such as human resource data to evaluate programs and/or health outcomes. A range of exposures (eg, chronic conditions, wellness program participation) and outcomes (eg, rates or costs of conditions, program effectiveness) were considered. Among the 25 studies that reported on patient confidentiality and privacy, 68% indicated institutional review board approval and 48% reported use of deidentified data. Many self-insured employers have used employee health claims data to gain insights into their employees' needs and health care utilization. These data can be used to identify potential improvements for wellness and other targeted programs to improve employee health and decrease absenteeism. Mary Ann Liebert, Inc., publishers 2023-10-01 2023-10-10 /pmc/articles/PMC10611962/ /pubmed/37682577 http://dx.doi.org/10.1089/pop.2023.0140 Text en © Naimisha Movva et al., 2023; Published by Mary Ann Liebert, Inc. https://creativecommons.org/licenses/by/4.0/This Open Access article is distributed under the terms of the Creative Commons License [CC-BY] (http://creativecommons.org/licenses/by/4.0 (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Review Articles
Movva, Naimisha
Pastula, Susan T.
Rege, Saumitra V.
Lewis, R. Jeffrey
Bylsma, Lauren C.
Scoping Review of Employer-Led Research Using Employee Health Claims Data
title Scoping Review of Employer-Led Research Using Employee Health Claims Data
title_full Scoping Review of Employer-Led Research Using Employee Health Claims Data
title_fullStr Scoping Review of Employer-Led Research Using Employee Health Claims Data
title_full_unstemmed Scoping Review of Employer-Led Research Using Employee Health Claims Data
title_short Scoping Review of Employer-Led Research Using Employee Health Claims Data
title_sort scoping review of employer-led research using employee health claims data
topic Review Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10611962/
https://www.ncbi.nlm.nih.gov/pubmed/37682577
http://dx.doi.org/10.1089/pop.2023.0140
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